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Geberit Quotes

After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.

Quotes
Geberit
Maxime Debarbat

Maxime Debarbat

Senior ML Engineer (GenAI)

Trusted by ML Professionals

Ouster
Searidge Technologies
Zendar
Advanced Farm
ABB
Toptal
UiPath
Respeecher
Yale
Thorvald

Data Annotation for AI in Construction

Get training data for construction AI systems across site progress, safety monitoring, defect detection, and BIM-linked inspection.

REQUEST PILOT

Trusted by
200+ customers

ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX

Solving Construction AI Data Challenges for

Construction Technology Companies

Construction Technology Companies

Site imagery varies by trade, angle, and build stage

Site imagery varies by trade, angle, and build stage

Inconsistent labels break BIM-to-reality element matching

Inconsistent labels break BIM-to-reality element matching

Taxonomies lag as new trades and work packages enter the site

Taxonomies lag as new trades and work packages enter the site

AI in Construction Safety Teams

AI in Construction Safety Teams

PPE and fall-protection classes are underrepresented

PPE and fall-protection classes are underrepresented

Workers, lifts, and materials obscure safety-critical scenes

Workers, lifts, and materials obscure safety-critical scenes

QA reviewers disagree on PPE compliance

QA reviewers disagree on PPE compliance

Digital Construction Vendors & Contractors

Digital Construction Vendors & Contractors

Class taxonomies shift from excavation to structure to finishing

Class taxonomies shift from excavation to structure to finishing

Objects need consistent IDs across weekly scans

Objects need consistent IDs across weekly scans

Subcontractors use different labels for the same components

Subcontractors use different labels for the same components

Featured Client Story

Case study

Image Annotation
for Pavement Crack
Detection

Learn more

Overview

For a major German construction firm, Label Your Data annotated road imagery across 22 defect types to train an automated crack detection model. See how our training data improved pavement analysis accuracy.

Results

10,000

images in the dataset

100+

road cracks per image

22

classifications of defect areas

AI Use Cases in Construction We Support

Construction activity tracking

Build computer vision construction models to track progress, work packages, and rework risk.

360° imagery annotation
Trade and work-package status tagging
BIM (Building Information Modeling) element matching
Construction site safety and PPE compliance monitoring

Train models for AI in construction safety using site video and imagery.

PPE (Personal Protective Equipment) and fall-protection detection
Worker pose and zone tracking
OSHA-rule mapping and uncertainty flagging
Construction quality and defect inspection

Train construction tech models to detect defects and quality issues in site imagery.

Crack and defect segmentation
Time-series change detection
Installation and finish quality classification
Digital twin models in construction AI

Build 3D ground truth for point cloud to BIM and digital twin construction workflows.

LiDAR and photogrammetry segmentation
3D cuboid and object-state annotation
Occlusion and fragmented-geometry labeling
Quality assurance and control in Building Information Modeling (BIM)

Structure drawings, RFIs, specs, and reports for AI-assisted project controls.

Construction entity recognition
BIM instruction and Q&A data
Contract and compliance document tagging
Construction activity tracking

Build computer vision construction models to track progress, work packages, and rework risk.

360° imagery annotation
Trade and work-package status tagging
BIM (Building Information Modeling) element matching
Construction site safety and PPE compliance monitoring

Train models for AI in construction safety using site video and imagery.

PPE (Personal Protective Equipment) and fall-protection detection
Worker pose and zone tracking
OSHA-rule mapping and uncertainty flagging
Construction quality and defect inspection

Train construction tech models to detect defects and quality issues in site imagery.

Crack and defect segmentation
Time-series change detection
Installation and finish quality classification
Digital twin models in construction AI

Build 3D ground truth for point cloud to BIM and digital twin construction workflows.

LiDAR and photogrammetry segmentation
3D cuboid and object-state annotation
Occlusion and fragmented-geometry labeling
Quality assurance and control in Building Information Modeling (BIM)

Structure drawings, RFIs, specs, and reports for AI-assisted project controls.

Construction entity recognition
BIM instruction and Q&A data
Contract and compliance document tagging

How We Work

Step 1

Discovery
call

Book a call or fill out a contact form to discuss your needs with our team.

Step 2

Pilot
project

Send sample data and receive annotations at no cost to evaluate quality.

Step 3

Custom
proposal

Get a tailored plan with scope, timelines, and transparent pricing.

Step 4

Data
annotation

Scale up with dedicated, vetted teams and multistep QA workflows.

Step 5

Delivery
and iteration

Receive export-ready data and iterate as your model evolves.

Estimate Your Costs line

1 Pick application field
2 Select annotation method
3 Specify how many objects to label
4 Check the approximate total cost
5 Run free pilot
Pick Application Field
Select Labeling Method
Amount
0 1M
Estimated Cost
$ x objects
$
Select Labeling Method
Amount
0 1M
Estimated Cost
$ x entities
$
tab-other

For other use cases

send us your request to receive a custom calculation

RUN FREE PILOT

Send your sample data to get the precise cost FREE

Why Construction AI Teams Choose Label Your Data

Data Annotation for Complex Environments

Data Annotation for Complex Environments

Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.

Structured Quality from Pilot to Production

Structured Quality from Pilot to Production

Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.

Flexible and Scalable Operations

Flexible and Scalable Operations

Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.

An Integrated Delivery Partner

An Integrated Delivery Partner

Align on goals, workflows, and expectations with a team that integrates into your process from day one.

Projects Led by Annotation Experts

Projects Led by Annotation Experts

Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.

Scale Complex AI for Construction
with Consistent Training Data

talk to our experts

Reviews

What Our Clients Say

"Their flexibility and ability to move fast impress us."

Label Your Data has successfully collected data from public sources, annotated missing skeletons, and validated pre-annotations for almost 15,000 images. Although their instructions are sometimes unclear, the team has received praise for their flexibility and speed. They also communicate via email.

"Although the task is unusual and difficult, their annotation quality is incredible."

Label Your Data has delivered high-quality data labels, which have received positive client feedback. Their team produces outputs on time and solves challenges without upselling. They also communicate effectively through virtual meetings.

“I'm impressed with how easy our communication with the team is and how simple and effective the processes are."

Label Your Data's support has been crucial in developing the client's computer vision perception algorithms. They lead a simple and effective collaboration by responding quickly to concerns and questions and delivering everything on time.

"The Label Your Data team was always available for questions."

Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client's portfolio. The team was consistently available for questions or updates that needed to be added to the data set. The client was impressed with the team's communication skills.

"Their flexibility and ability to work with multiple languages are impressive."

Label Your Data continues to work diligently for the client. They consistently provide training data for different document types and languages. Furthermore, they are excellent communicators and collaborators, and their ability to serve high-quality services is outstanding.

"They were always ready to work whenever we had projects."

After engaging with Label Your Data, the client has seen a reduction in error rate and success with model accuracy running on production. The team delivered on time and was communicative in their approach. The client was impressed with the steps Label Your Data took to ensure accurate QA testing.

Request a pilot

Tell us more about your project and data

Email is not valid.

Email is not valid

Company name is not valid

Phone is not valid

Some error text

Thank you for contacting us!

Thank you for contacting us!

We'll get back to you shortly

Geberit Quotes

After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.

Quotes
Geberit
Maxime Debarbat

Maxime Debarbat

Senior ML Engineer (GenAI)

Trusted by ML Professionals

Ouster
Searidge Technologies
Zendar
Advanced Farm
ABB
Toptal
UiPath
Respeecher
Yale
Thorvald

FAQs

How can AI be used in construction?

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Artificial intelligence in construction can support progress tracking, site safety, defect detection, BIM-to-reality matching, digital twins, and document processing. Label Your Data prepares the labeled imagery, video, LiDAR, and project data these systems need for training and evaluation.

Can AI read construction plans and documents?

arrow

Yes, AI can extract and classify information from construction drawings, RFIs, specifications, contracts, and reports when trained on structured examples. Label Your Data provides construction data services for document AI, including entity annotation, BIM instruction and Q&A data, and contract or compliance tagging for NLP and project-control workflows.

How does Label Your Data handle worker safety and privacy in site video?

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Site footage can capture identifiable workers, attendance patterns, and behavior. For AI in construction safety, Label Your Data scopes workforce-monitoring footage separately from general progress data, applies restricted access, and supports region-specific data handling requirements on request.

Can you scale construction AI annotation as a site moves through project phases?

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Our construction data services scale with changing project phases, annotation volumes, and taxonomies. As a site moves from excavation to structure and finishing, Label Your Data adjusts class structures, sampling, and QA instead of applying one fixed taxonomy across the entire build.

How does Label Your Data compare to a generalist annotation vendor for construction AI?

arrow

Generalist annotation vendors typically staff one team against a fixed guideline for the life of a project. The Label Your Data team keeps the same annotators on your build from discovery through delivery, so they learn your construction site’s phase transitions and taxonomy changes firsthand instead of relearning them each time volume ramps up or a new team gets rotated in.